New Publication: VPR-Bench: An Open-Source Visual Place Recognition Evaluation Framework with Quantifiable Viewpoint and Appearance Change

An international and multidisciplinary research collaboration between Heriot-Watt University, Queensland University of Technology, Delft University of Technology and the University of Essex, has led to a publication on an open source framework for assessing the performance of VPR techniques. Visual place recognition (VPR) is the process of recognising a previously visited place using visual information, […]


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Internet of Things: A Review on Theory Based Impedance Matching Techniques for Energy Efficient RF Systems

Within an increasingly connected world, the exponential growth in the deployment of Internet of Things (IoT) applications presents a significant challenge in power and data transfer optimisation. Currently, the maximization of Radio Frequency (RF) system power gain depends on the design of efficient, commercial chips, and on the integration of these chips by using complex […]


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Autonomy and Me: Symbiotic Partnerships Between People and Systems

Thank you to Clearpath Robotics for highlighting how our research is establishing a pathway for the transition of Trustworthy Autonomous Services into industry. Productive collaboration, Run-Time mission resilience and Safety Compliance was achieved using a digital environment to support the 3C’s (Collaboration, Coordination and Corroboration) across people, infrastructure, the environment, and resident robotics using a hyper-enabled collaborative […]


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New Publication: Analysis of Strategic Renewable Energy, Grid and Storage Capacity Investments via Stackelberg-Cournot modelling

Congratulations to Dr. Merlinda Andoni, Dr. Valentin Robu, Dr. Benoit Couraud, Dr. Wolf-Gerrit Fruh, Mr. Sonam Norbu and Prof. David Flynn for the acceptance of their manuscript “Analysis of Strategic Renewable Energy, Grid and Storage Capacity Investments via Stackelberg-Cournot modelling” for publication in IEEE Access. IEEE Access is an award-winning, multidisciplinary, all-electronic archival journal, continuously presenting the […]


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New Publication: Flexible Low-Density Polyethylene–BaTiO3 Nanoparticle Composites for Monitoring Leakage Current in High-Tension Equipment

Congratulations to Ranjeetkumar Gupta, David Bucknall and David Flynn on the acceptance of their recent manuscript “Flexible Low-Density Polyethylene–BaTiO3 Nanoparticle Composites for Monitoring Leakage Current in High-Tension Equipment” for publication in Applied Nanomaterials. ACS Applied Nano Materials is an interdisciplinary journal publishing original research covering all aspects of engineering, chemistry, physics and biology relevant to applications […]


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New Release: HOME Offshore Summary Brochure

The HOME Offshore team are pleased to announce the release of the new brochure, where we showcase how to de-risk offshore wind operations, reduce costs and make better use of assets through the applications of Modelling and Data Science, Machine Learning, Advanced Sensing and Robotics. An excellent academic and industrial collaboration thanks to the consortium […]


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New Publication: A Machine Learning Degradation Model for Electrochemical Capacitors Operated at High Temperature

Congratulations to Darius Roman, Valentin Robu and David Flynn for acceptance of their research to IEEE Access. Their publication “A Machine Learning Degradation Model for Electrochemical Capacitors Operated at High Temperature” was a collaborative work between the Smart Systems Group, the Argonne National Laboratory, Baker Hughes, the Center for Advanced Life Cycle Engineering (CALCE) and […]


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New method for controlling and sharing the benefits from community energy projects

Congratulations to Sonam Norbu, Benoit Couraud, Valentin Robu, Merlinda Andoni and David Flynn on the acceptance of their publication “Modelling the redistribution of benefits from joint investments in community energy projects” to Elsevier’s Applied Energy journal. Applied Energy provides a forum for information on innovation, research, development and demonstration in the areas of energy conversion and conservation, the optimal […]


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Symbiotic System Design for Safe and Resilient Autonomous Robotics in Offshore Wind Farms

We are pleased to announce an early release of our research into symbiotic systems. This top-down approach to modelling the complex interactions of industrial autonomous services presents several advancements that will enable a roadmap to trust, resilient autonomous operations and safety compliance. The preprint is available on ArXiv by clicking here and video presentation which […]


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AI-Driven Maintenance Support for Downhole Tools and Electronics Operated in Dynamic Drilling Environments – Available on IEEE Xplore Open Access

The Oil & Gas industry understands the potential of Artificial Intelligence (AI) and Big Data. However, contrary to AI consumer applications and many other industrial sectors, the dynamic and harsh environments of drilling and production operations as well as the global scale brings a very unique set of challenges for the deployment of industrialised, scalable […]


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